Researchers at the University of Southampton have developed an artificial intelligence (AI) tool that can spot hard-to-see objects lodged in patients’ airways better than expert radiologists.

In a study published in npj Digital Medicine, the AI model outperformed radiologists in checking CT scans for objects that don’t show up well on scans.

As a mentor, Sindhu Jagadamma, associate professor of soil science at the University of Tennessee Institute of Agriculture, helps her students increase their self-confidence and push themselves to persevere through adversity, traits she learned to improve in herself as a young girl from a small town in India.

Former mentees who worked with Jagadamma in the Sustainable Soil Management Lab nominated her for the Women in Science Mentoring Award, given by the American Society of Agronomy, Crop Science Society of America and Soil Science Society of America. She received the award at the three societies’ annual conference (CANVAS 2025), held November 9-12 in Salt Lake City.

A research team from the Cognitive Neurotechnology Unit and the Visual Perception and Cognition Laboratory, Department of Computer Science and Engineering at Toyohashi University of Technology, investigated human behavior and comfort when handing over a package to an autonomous mobile delivery robot while walking—an interaction envisioned for logistics in future smart cities. The results showed that people tend to feel more comfortable when the robot approaches them more closely, whereas they tend to feel discomfort when the robot stays farther away. This tendency was particularly pronounced when the package being carried was heavy. On the other hand, when the robot came close, participants often slowed down their walking speed and sometimes stopped momentarily, exhibiting brief hesitation. These findings suggest that humans may perceive robots as “helpful partners” rather than mere machines, and that appropriate approach distances and motion designs are essential for achieving comfortable human–robot collaboration. The study was published online in the International Journal of Social Robotics on October 20, 2025.

A Concordia study found that Montreal’s electric buses consume 26% more energy in winter due to colder temperatures, road friction, and the need for interior heating. Despite this seasonal drop in efficiency, they remain 40–60% cheaper to operate than diesel buses and continue to reduce greenhouse gas emissions.